Computer science research at Minnesota

A team of CS&E students is working with assistant professor Evan Suma Rosenberg on more immersive options to video conferencing.

This recognition from the Association for Computing Machinery celebrates his long-term commitment and outstanding scientific contributions to computing.

“SLIM: Sparse Linear Methods for Top-N Recommender Systems” was published by alumna Xia Ning (Ph.D, 2012) and her advisor, Professor George Karypis in 2011.

From exploring shipwrecks to air-dropping supplies in a pandemic, CS&E faculty and students are designing robots for the 21st century.

CS&E associate professor Paul Schrater is part of the team who, for the first time, developed a method to measure thoughts.

Associate Professor Knights is one of the most influential researchers in his fields, according to analysis of citation counts by Clarivate Analytics.

CS&E assistant professor Ju Sun is part of the team aiming to add tracking systems on electric scooters to improve safety of riders on the road.

CS&E's Ju Sun and colleagues from the Medical School have utilized machine learning to diagnose COVID-19 via X-ray imaging.

CS&E associate professor Dan Keefe is working to create visualization tools to better describe the world by blending the languages of science and art.

CS&E's Shashi Shekhar is using privacy-protected spatial data collected from cell phones to understand how Minnesotans responded to the pandemic.

The project ‘Mixed Reality Spatial Interaction for Diverse Communities’ aims to get technology into community hands while accounting for pandemic restrictions.